Senior Scientist, Translational Informatics and Predictive Sciences

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

When you join BMS, you are joining a high-achieving team united by a common mission.

The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.

Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

We seek a creative and passionate computational scientist to join the Cell Therapy team within Informatics and Predictive Sciences, a globally distributed group driving innovative computational research for discovery and clinical development. In this role, you will apply your analytical skills to analysis of a broad array of datasets generated from clinical cell therapy studies. You will work as part of a cross-functional team focused on cell therapy programs across all stages of development. In so doing, you will contribute to the development of novel therapeutic approaches that directly address unmet medical need in oncology and autoimmune diseases.

Responsibilities

This individual will be responsible for leading the analysis and integration of clinical, translational and pre-clinical data from cell therapy clinical trials and pre-clinical experiments, in collaboration with translational research, pre-clinical research, and clinical development teams. The scientist will analyze a broad array of high-throughput datasets with the goal of guiding development of the BMS cell therapy pipeline through all stages of development. They will develop and drive collaborations with other bioinformaticians, statisticians, biologists, and clinicians to design and execute computational analysis to impact our cell therapy portfolio.

Basic Qualifications

• Senior Scientist Bachelor's Degree 7+ years of academic / industry experience Or Master's Degree 5+ years of academic / industry experience
• Or PhD 2+ years of academic / industry experience

Preferred Qualifications

• Ph.D. in bioinformatics, molecular biology, statistics, physics, genetics, or similar area
• 3-5 years of relevant experience
• Background in Oncology or Immunology and experience working with clinical trial data in a drug development setting preferred
• Broad experience with data generated by one or more high-throughput molecular assays: next-generation sequencing, metabolomics, flow cytometry, mass spectrometry proteomics, etc.
• Strong experience in the use of a high-level programming language such as R or Python for complex data analysis and reproducible research practices
• Excellent problem-solving and collaboration skills, and rigorous and creative thinking
• Strong communication, data presentation and visualization skills
• Demonstrated ability to derive impactful biological insight from computational analysis of clinical trial or pre-clinical data
• Ability to independently develop understanding of key program questions and formulate and execute analysis plans to address these questions
• Capability to establish strong working relationships across and within organization
• Flexibility and adaptability to work across multiple research domains
• Strong record of publication in relevant fields

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview:

Cambridge Crossing: $148,210 - $179,601 
Madison - Giralda - NJ - US: $128,890 - $156,179
Princeton - NJ - US: $128,890 - $156,179 
Seattle - WA: $141,770 - $171,794


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